Biomedical Applications of Information Technology: History, Trends and Future Challenges
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 3850
Special Issue Editors
Interests: RF; mixed-signal circuits; embedded systems for healthcare
Special Issues, Collections and Topics in MDPI journals
Interests: photonic sensors; metasurfaces; optical resonators; gyroscopes; solar cells; electronic systems; biosensors
Special Issues, Collections and Topics in MDPI journals
Interests: high-frequency circuits and components; high-performance circuits and systems for telecommunication applications
Special Issues, Collections and Topics in MDPI journals
Interests: localization; RF electronics; phased arrays; green WSN
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Since the middle of the 20th century, Information Technology (IT) has led to critical changes in every field of everyday life. The same changes have also affected medicine. Over the years, medicine has pervasively adopted IT tools to simplify or enhance the quality of diagnosis and support patients’ recovery. In this Special Issue, we aim to cover the history of IT technologies developed for biomedical applications, along with their actual trends and future challenges they will need to overcome. Reviews, surveys, and novel research papers on specific subjects are welcome, as well as interdisciplinary works.
Dr. Giuseppe Coviello
Dr. Giuseppe Brunetti
Dr. Gianfranco Avitabile
Guest Editors
Antonello Florio
Guest Editor Assistant
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Keywords
- history of bioengineering IT systems
- wearable, stretchable, and implantable electronic and photonic circuits and systems
- biomedical applications of networking
- applied photonics for biomedical applications
- analog and digital processing of biomedical signals
- biometrical security systems
- biomedical applications of big data: trends, challenges, and security
- machine learning and recommender systems for diagnosis support
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